Security Scan Report: www.boneo.se

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Submitted: Dec 5, 2025, 2:03:07 PMCompleted: Dec 5, 2025, 2:05:06 PMpubliccompleted
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Summary

This website contacted 156 IPs in 10 countries across 38 domains to perform 235 HTTP transactions. The main domain is boneo.se and was registered NaN years ago.

Submitted URL: https://www.boneo.se/

AI Security Verdict

AI analysis unavailable for this scan

Details

Page Title

Boneo - Bostadsportal med flest kommande bostäder till salu

Scan Type

public

Language

🇸🇪

Swedish

(80% confidence)

Category

other

(62%)

Domain Information

Domain 'www.boneo.se' uses the Swedish country-code top-level domain (.se) with subdomain 'www'. The registrable portion 'boneo' spans 5 characters holding three vowels versus 2 consonants. Tokenizing the label suggests two words: bone, o. Median word length is 2.5 characters. No strong language cues emerged from the frequency lists.

Screenshot

Security scan screenshot of https://www.boneo.se/

Page Load Overview

0.64s
Total Load Time
235
HTTP Requests
38
Domains
4.0 MB
Total Size

Language Analysis

Primary Language

🇸🇪Swedish
Code: sv
Confidence:80%
Script:Latin
Direction:ltr

Detection Details

Language Code:sv
Detection Confidence:80%
Script Type:Latin
HTML Lang Attribute:sv
Text Length:7,406 chars
Detector Agreement:80%

Website Classification

Primary Category

other62% confidence
Type: spa
Method: ml+structural

All Detected Categories

other
62%
corporate
35%

Detected Features

OG: website
Schema.org

Domain & IP Information

RequestsIP AddressLocationAS Autonomous System
11954.93.107.77Frankfurt am Main, Hesse, Germany
AS16509AMAZON-02
173.160.150.40United States
AS16509AMAZON-02
9174.138.107.223Amsterdam, North Holland, Netherlands
AS14061DIGITALOCEAN-ASN
82.23.245.35Frankfurt am Main, Hesse, Germany
AS16625AKAMAI-AS
5216.58.212.136United States
AS15169GOOGLE
4142.251.140.164United States
AS15169GOOGLE
434.88.158.158Lappeenranta, South Karelia Region, Finland
AS396982GOOGLE-CLOUD-PLATFORM
4172.217.23.99United States
AS15169GOOGLE
3157.240.0.35Frankfurt am Main, Hesse, Germany
AS32934FACEBOOK
313.32.99.84New York, New York, United States
AS16509AMAZON-02
235156--

Detected Technologies2

Content Similarity HashesFor malware variant detection

TLSH (Trend Micro Locality Sensitive Hash)

Security-focused

Specialized for malware detection and similarity analysis

T147A3F566EE0495334113ABCCA13B7B2AB9D74029DDB38464B3FECBEA4B46D958D11C4C

ssdeep (Context Triggered Piecewise Hashing)

Context-aware

Detects similar content even with modifications

1536:eet9CP9ACc9KEW9LXSPe2AN9K3bPHnH3eeaee/eekeegv8e/zerNuqmiUkIlE83u:rpkLzuIcrM4IV3zYKdCnXT

sdhash (Similarity Digest Hashing)

High-precision

High-precision similarity detection for forensic analysis

sdhash:3:105544:DKpAj9ASKEcAsQAIhhMwPAgGEgKgEUBBTdjiSIUUAg1CFPQ0AEoAJP6gAOq5CSOkQEBEDLdIyIhciRqhJBiOBkIBEBwncGgW

These hashes enable detection of similar websites and malware variants by comparing content similarity even when exact matches aren't found.

Image Hashes

Perceptual Hashes

Average Hash:001801b9380000ff
Perceptual Hash:884eb337cc6a3732
Difference Hash:69b131b3b20e99b3
Wavelet Hash:001801fbff0347ff
Color Hash:#2d5b86

Scan History

Scan history not available

Unable to load historical scan data